{"id":"W5946680","doi":"10.1007/978-3-642-24500-8_8","title":"Gemini: A Pervasive Accumulated Context Exergame","year":2011,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Innovative Human-Technology Interaction","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pace; Software deployment; Commercialization; Computer science; Context (archaeology); Scalability; Human–computer interaction; Term (time); Multimedia; Software engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00067407,0.00074652,0.0007163746,0.001805708,0.0003115318,0.0003911995,0.005062636,0.0007686944,0.0001675417],"category_scores_gemma":[0.0001987023,0.0007093305,0.0001655308,0.0009925617,0.001385531,0.001213626,0.002062347,0.001839829,0.0004221497],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005829241,"about_ca_system_score_gemma":0.0005613636,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004702992,"about_ca_topic_score_gemma":0.00008573074,"domain_scores_codex":[0.9955118,0.00004285825,0.0007546774,0.002040773,0.0007973459,0.0008524951],"domain_scores_gemma":[0.9959482,0.00039194,0.000620849,0.002041117,0.0008757454,0.0001221289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001803254,0.00005776867,0.00005316707,0.00002744706,0.00004588047,0.0003215511,0.0032995,0.0004884449,0.00100677,0.1991778,0.0001364355,0.7953672],"study_design_scores_gemma":[0.001025264,0.0009633378,0.0004450271,0.001348719,0.00003120661,0.0007458004,0.000002082131,0.1429788,0.04014296,0.7965021,0.01319557,0.002619166],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0005921742,0.0002560752,0.9846099,0.0006895724,0.003064621,0.0005294615,0.000004602535,0.0004987898,0.009754799],"genre_scores_gemma":[0.8378895,0.00004431292,0.155463,0.004084414,0.0004385512,0.00003324267,0.00001037414,0.00007999909,0.001956654],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8372973,"threshold_uncertainty_score":0.9995358,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03866445318236013,"score_gpt":0.2737435718161972,"score_spread":0.2350791186338371,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}